Kalman Filter Auto-Tuning With Consistent and Robust Bayesian Optimization-Reference-Cited by-同舟云学术

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Kalman Filter Auto-Tuning With Consistent and Robust Bayesian Optimization

Published:2024-04 Issue:2 Volume:60 Page:2236-2250
ISSN:0018-9251
Container-title:IEEE Transactions on Aerospace and Electronic Systems
language:
Short-container-title:IEEE Trans. Aerosp. Electron. Syst.

Author:

Chen Zhaozhong¹^ORCID,Biggie Harel¹^ORCID,Ahmed Nisar¹^ORCID,Julier Simon²^ORCID,Heckman Christoffer³^ORCID

Affiliation:

1. Department of Computer Science, University of Colorado Boulder, Boulder, CO, USA

2. Department of Computer Science, University of College London, London, U.K.

3. Department of Smead Aerospace Engineering Sciences, University of Colorado Boulder, Boulder, CO, USA

Funder

DARPA Cooperative Agreement

National Science Foundation

USDA-NIFA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

https://ieeexplore.ieee.org/ielam/7/10496926/10382621-aam.pdf

Reference49 articles.

1. A New Approach to Linear Filtering and Prediction Problems

2. Estimation with Applications to Tracking and Navigation

3. Journal of statistical planning and inference;Srivastava;Ency. Stat. Sci.,2004

4. Bayesian optimization using student-t processes;Shah,2013

5. Practical Bayesian optimization of machine learning algorithms;Snoek,2012

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. EKF–SINDy: Empowering the extended Kalman filter with sparse identification of nonlinear dynamics;Computer Methods in Applied Mechanics and Engineering;2024-11

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